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Mendeley readers
| Title |
Associations of serum calcium levels and dietary calcium intake with incident type 2 diabetes over 10 years: the Korean Genome and Epidemiology Study (KoGES)
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|---|---|
| Published in |
Diabetology & Metabolic Syndrome, June 2018
|
| DOI | 10.1186/s13098-018-0349-y |
| Pubmed ID | |
| Authors |
Kyoung-Nam Kim, Se-Young Oh, Yun-Chul Hong |
| Abstract |
Previous evidence regarding the associations between serum calcium concentrations, dietary calcium intake, and type 2 diabetes (T2D) is limited. We investigated the longitudinal associations of serum calcium levels and dietary calcium intake with T2D development. This study used data from the Ansung-Ansan cohort, a community-based, prospective cohort that was followed up for 10 years. Cox regression models adjusted for potential confounders were used to evaluate the associations of serum calcium levels (mean, 9.41 mg/dL) and dietary calcium intake (median, 389.59 mg/day) with T2D incidence. Association between dietary calcium intake and serum calcium levels was assessed using linear regression models. Albumin-adjusted serum calcium levels were not associated with T2D risk (hazard ratio [HR] = 1.07, 95% confidence interval [CI] 0.96, 1.19, p-value = 0.2333). A one-unit increase in log-transformed, energy-adjusted dietary calcium intake was associated with a decreased risk of T2D (HR = 0.88, 95% CI 0.77, 1.00, p-value = 0.0460) and lower albumin-adjusted serum calcium levels (β = - 0.04, 95% CI - 0.07, - 0.02, p-value = 0.0014). The associations did not differ according to sex (all p-values for interaction > 0.10). Serum calcium levels were not associated with T2D risk, while higher dietary calcium intake was associated with a decreased risk of T2D development. These results have public health implications for predicting and preventing T2D development, as well as providing guidelines for diet and calcium supplementation. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 13% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 3 | 8% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 15 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Nursing and Health Professions | 5 | 13% |
| Unspecified | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 39% |